Timeline for Simulate a Gaussian Copula with t margins
Current License: CC BY-SA 3.0
9 events
when toggle format | what | by | license | comment | |
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Aug 21, 2019 at 21:23 | answer | added | Dave | timeline score: 3 | |
Aug 21, 2019 at 20:43 | answer | added | michael_fortunato | timeline score: 0 | |
Dec 4, 2015 at 10:05 | answer | added | Glen_b | timeline score: 2 | |
Dec 3, 2015 at 17:50 | comment | added | Elekko | Not sure... how should it in that case be done? I use pnorm for since I want to create a Gaussian Copula, however, i just checked that the histogram of U_norm is NOT uniformly distributed. Any help what to do? | |
Dec 3, 2015 at 17:44 | comment | added | whuber♦ |
Great, thank you. May I direct your attention to the one part of my comment you have not yet addressed? It may hold the key to the problem: why are you applying pnorm , which is the distribution function of a standard Normal variate, when gauss contains variables whose marginal distributions are given by the nonstandard covariance matrix S ?
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Dec 3, 2015 at 15:50 | history | edited | Elekko | CC BY-SA 3.0 |
Edited code for better explanation
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Dec 3, 2015 at 15:48 | comment | added | Elekko | rmvt is for generating from multidimensional t distribution. I added the library in the top. Also, added plotting code. | |
Dec 3, 2015 at 15:36 | comment | added | whuber♦ |
Could you elaborate on what you mean by "cannot see any plot that resembles a gaussian copula"? I am puzzled by this because (1) there are no plotting commands or images in your post and (2) this copula exists in 50 dimensions. I am also curious why in your penultimate line pnorm(gauss) you do not refer to S . Incidentally, typos and missing commands (such as one that defines rmvt ) in your code will make it impossible to execute.
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Dec 3, 2015 at 14:54 | history | asked | Elekko | CC BY-SA 3.0 |